Approaches for efficient data extraction from data cube structure

摘要

The goal of the article is to describe the problems for the efficient construction of a data cube structure and to present several approaches for efficient extraction of information from a data cube structure. Approaches to reduce the time to retrieve data from a data cube by building a direct connection to the data using the Object-Oriented Model Data Cube (class) are presented. Other methods for reducing the data sparsity of a data cube structure by detecting semantic dependence of the data and dividing the data cube into higher-density subcubes are also described.